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  • 葡京3522新地址
  • 本科生招生
  • 研究生招生
  • 科研动态

    • 顾晓玲 

    副研究员

    硕士生导师

    计算机科学与技术

    机器学习，计算机视觉，多媒体分析

    Email
    guxl@hdu.edu.cn
    Address
    杭州电子科技大学下沙校区3教417

    • 顾晓玲，2017年博士毕业于浙江大学，在2011年曾就职于阿里巴巴（中国）网络技术有限公司担任软件开发工程师，在2016年至2017年期间在新加坡国立大学Mohan教授组进行访问学习。自2018年1月起任职于杭州电子科技大学 计算机学院，是图形图像研究所媒体智能实验室 (Media Inteligence Laboratory, MIL) 和复杂系统建模与仿真教育部重点实验室成员。

          研究领域：主要研究兴趣为计算机视觉与机器学习，涉及时尚数据分析和挖掘、图像生成、跨媒体检索、推荐系统等课题，相关研究成果已发表在ACM SIGIR (CCF A类会议), ACM Multimedia (CCF A类会议), ACM ICMR (CCF B类会议), IEEE Transaction on Multimedia (SCI一区),Information Sciences (SCI一区) 等国际会议和期刊，现主持国家自然科学基金青年项目1项。

          个人主页：http://mil.hdu.edu.cn/people/xiaoling_gu/index.html

      • Xiaoling Gu, Jun Yu, Yongkang Wong, Mohan S. Kankanhalli:Toward Multi-Modal Conditioned Fashion Image Translation. IEEE Trans. Multim. 23: 2361-2371 (2021) (JCR Rank 1)
      • Xiaoling Gu，Fei Gao，Min Tan，Pai Peng，Fashion Analysis and Understanding with Artificial Intelligence，Information Processing & Management，2020，57(5):102276(JCR Rank 2)
      • Xiaoling Gu, Yongkang Wong, Lidan Shou,Pai Peng, Gang Chen, Mohan S. Kankanhalli, Multi-Modal and Multi-Domain Embedding Learning for Fashion Retrieval and Analysis, IEEE Transactions on Multimedia, 2019.6, 21(6):1524~1537 (JCR Rank 1)
      • Xiaoling Gu, Yongkang Wong, Lidan Shou,Pai Peng, Gang Chen, Mohan S. Kankanhalli, Multi-Modal and Multi-Domain Embedding Learning for Fashion Retrieval and Analysis, IEEE Transactions on Multimedia, 2019.6, 21(6):1524~1537 (JCR Rank 1)
      • Pai Peng, Xiaoling Gu(*), Lidan Shou, Gang Chen. One Net to Rule Them All: Efficient Recognition and Retrieval of POI From Geo-tagged Photos, Multimedia Tools and Applications, 2019, 78(17): 24347-24371 (JCR Rank 3)
      • Xiaoling Gu, Yongkang Wong, Pai Peng, Lidan Shou, Gang Chen, Mohan S. Kankanhalli, Understanding Fashion Trends from Street Photos via Neighbor-Constrained Embedding Learning, ACM International Conference on Multimedia, 2017: 190-198 (CCF A)
      • Xiaoling Gu，Sai Wu，Pai Peng， Lidan Shou， Ke Chen， Gang Chen，CSIR4G: An Effective and Efficient Cross-Scenario Image Retrieval Model for Glasses， Information Sciences， 2017， 417：310-327 (JCR Rank 1)
      • Xiaoling Gu, Lidan Shou, Pai Peng, Ke Chen, Sai Wu, Gang Chen，iGlasses: A Novel Recommendation System for Best-fit Glasses，International ACM SIGIR Conference on Research and Development in Information Retrieval，2016: 1109-1112 (CCF A Demo Paper)
    1. Youth Program of National Science Foundation of China, Grant No. 61802100, Research on Multi-Modal Representation Learning for Fashion Data Retrieval and Recommendation, 270,000 Yuan

    Zhejiang Provincial Natural Science Foundation of China, Grant No. 61802100, Research on Multi-Modal Conditioned Intelligent Clothing Generation Algorithms, 100,000 Yuan